Introduction: Blood stream infections are an important cause of serious morbidity and mortality. Blood stream infections occur more frequently in patients hospitalized in intensive care units than in other units. The knowledge of distribution and antibiotic resistance pattern of causative microbial agents in these infections is important for their prevention and empirical antibiotic treatment while awaiting culture and sensitivity results. Aim: The aim of the study was to describe the distribution of etiological agents causing blood stream infection in intensive care unit patients and their antibiotic resistance pattern, so that a guideline can be formulated for clinicians to choose an effective empiric antibiotic therapy. Methods: This was a retrospective study. Samples representing blood stream infections were sent from ICU to icrobiology laboratory for culture and sensitivity testing. Microbiological profile and antibiotic resistance pattern of clinical isolates was studied. Results: Positive cultures were obtained in 42 (11.9%) cases. Among culture positive isolates 56.1% were gram positive bacteria wherease (39%) and (4.9%) were gram negative bacilli and yeast respectively. Coagulase negative staphylococci (31.7%) was predominant organism followed by E.coli (24.4%), Staph aureus (12.2%), Enterococcus faecium__ampersandsignnbsp;(9.8%),Klebsiella pneumonia(7.3%) and nonfermenters (7.3%), Linezolid, Quinpristin/Dalfopristin,__ampersandsignnbsp;Vancomycim was the most active drugs for gram positive cocci wherease Amikacin and Carbapenams were most active drugs for gram negative bacilli. Nonfermenters showed multidrug resistance and were sensitive to tigecycline and colistin. Conclusion: This study provide information on distribution and antibiotic resistance pattern of microorganism causing blood stream infection. It may be a useful guide for physician to start empiric antibiotic therapy in cases of blood stream infections and in formulating antibiotic therapy policy in our hospital. It will provide a baseline reference data for future studies to detect changes in distribution and antibiotic resistance pattern of clinical isolates causing blood stream infection.